Vets Hired
Bioinformatics Software Engineer II
Vets Hired - New York, New York, us, 10261
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Overview
About the job Bioinformatics Software Engineer II
Job Details
Exciting Opportunity: Join as a Bioinformatics Software Engineer in the Computational Oncology Service. We are seeking a talented and self-driven Software Engineer to contribute to developing the next generation of cancer research software.
Role Overview:
Develop data processing pipelines that handle large-scale, high-dimensional, and multi-modal data, such as genomic sequences, images, and clinical records. Design, implement, and maintain data platforms for cancer genomics and imaging studies using state-of-the-art technologies and frameworks. Collaborate with scientists and clinicians to understand data analysis requirements and design data models and workflows to support novel scientific inquiries. Ensure scientific rigor and reproducibility by implementing and following best practices in software development, code versioning, software testing, and deployment. Key Qualifications:
Masters degree in Computer Science or related field with 2+ years of experience (PhD preferred). Proficiency in Python and familiarity with R. Experience building and maintaining environments using pip, conda, and Docker. Experience developing bioinformatic pipelines using Snakemake or Nextflow. Core Skills:
Outstanding communication and self-awareness. Critical thinking and problem-solving abilities. Adaptability and resilience to meet the changing needs of research. Strong collaboration skills and ability to build trusting relationships.
Job Details
Exciting Opportunity: Join as a Bioinformatics Software Engineer in the Computational Oncology Service. We are seeking a talented and self-driven Software Engineer to contribute to developing the next generation of cancer research software.
Role Overview:
Develop data processing pipelines that handle large-scale, high-dimensional, and multi-modal data, such as genomic sequences, images, and clinical records. Design, implement, and maintain data platforms for cancer genomics and imaging studies using state-of-the-art technologies and frameworks. Collaborate with scientists and clinicians to understand data analysis requirements and design data models and workflows to support novel scientific inquiries. Ensure scientific rigor and reproducibility by implementing and following best practices in software development, code versioning, software testing, and deployment. Key Qualifications:
Masters degree in Computer Science or related field with 2+ years of experience (PhD preferred). Proficiency in Python and familiarity with R. Experience building and maintaining environments using pip, conda, and Docker. Experience developing bioinformatic pipelines using Snakemake or Nextflow. Core Skills:
Outstanding communication and self-awareness. Critical thinking and problem-solving abilities. Adaptability and resilience to meet the changing needs of research. Strong collaboration skills and ability to build trusting relationships.